Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks

12 October 2020

Papers citing "Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks"

7 / 7 papers shown

Title
Diabetic Foot Ulcer Grand Challenge 2022 Summary Connah Kendrick B. Cassidy N. Reeves Joseph M Pappachan C. O'Shea Vishnu Chandrabalan Moi Hoon Yap 17 4 0 24 Apr 2023
ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization Talita A. Pereira R. C. Popim L. A. Passos D. R. Pereira C. R. Pereira João Paulo Papa 10 4 0 26 Sep 2022
Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation Connah Kendrick B. Cassidy Joseph M Pappachan C. O'Shea C. J. Fernández Elias C. Chacko Koshy Jacob N. Reeves Moi Hoon Yap 31 32 0 22 Apr 2022
Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction to Treat Diabetic Foot Ulcers H. Chae Seunghwan Lee H. Son Seungjae Han T. Lim MedIm 28 3 0 08 Mar 2022
Development of Diabetic Foot Ulcer Datasets: An Overview Moi Hoon Yap Connah Kendrick N. Reeves Manu Goyal Joseph M Pappachan B. Cassidy 6 9 0 01 Jan 2022
Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks A. Mahbod Gerald Schaefer R. Ecker Isabella Ellinger 31 26 0 03 Sep 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,608 0 19 Feb 2017